Code Ambiguity Resolution

Code Ambiguity Resolution is a methodological framework in data coding that identifies and resolves uncertainties arising from overlapping or indistinct code assignments by systematically applying contextual, syntactic, or semantic criteria to ensure consistent and unambiguous categorization of data.

28

Publications

1.2K

Citations

84

Authors

26

Institutions

Publications per year

2017–2026

6

Authors

84

  1. ME
    M. Elizabeth Cannon

    University of Calgary, Canada

    3 publications · 101 citations

    3

    h-index

  2. GL
    G. Lachapelle

    University of Calgary, Canada

    2 publications · 91 citations

    2

    h-index

  3. GL
    G. Lu

    NSF NCAR High Altitude Observatory, United States

    2 publications · 91 citations

    2

    h-index

  4. YF
    Yanming Feng

    Queensland University of Technology, Australia

    2 publications · 148 citations

    2

    h-index

  5. PC
    Paul Collins

    Lung Institute, United States

    2 publications · 282 citations

    2

    h-index

1–5 of 84

Venues

  1. Journal of Geodesy

    3 publications · 204 citations

    3

    h-index

  2. 1

    h-index

  3. RNA

    1 publications · 15 citations

    1

    h-index

  4. IEEE/ION Position, Location and Navigation Symposium

    Conference · 1 publications · 28 citations

    1

    h-index

  5. 1

    h-index

1–5